Publisher
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Benjamin Risse

1 month ago

PostDoc in Deep Learning / Computer Vision for Biomedical Imaging University of Münster in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral Research Associate position at salary level E 13 TV-L. The post does not mention stipend amount or tuition; it is a paid employment opening.

Deadline

Sep 15, 2026

Country flag

Country

Germany

University

University of Münster

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Deep Learning
Endocrinology
Biology
Computer Vision
Medical Science
Explainable Ai
Object Tracking
ML

About this position

Postdoctoral Research Associate opening at the University of Münster in the group of Benjamin Risse. The position focuses on deep learning, computer vision, and modern AI methods for challenging methodological research.

Research topics mentioned include image and video analysis, object tracking, segmentation, foundation models, explainable AI, and representation learning. The application domain is biomedical imaging, especially the analysis of microscopy videos in reproductive medicine. Prior experience in biomedicine is welcome, but the key requirement is strong AI/deep learning expertise and interest in interdisciplinary research.

This is a postdoctoral opening, advertised as Wissenschaftliche*r Mitarbeiter*in with salary level E 13 TV-L. The post gives an application deadline of September 15.

Interested candidates should review the official position posting and apply via the linked University of Münster job page before the deadline.

Funding details

Postdoctoral Research Associate position at salary level E 13 TV-L. The post does not mention stipend amount or tuition; it is a paid employment opening.

What's required

Strong background in deep learning and computer vision is required. Experience with image and video analysis, object tracking, segmentation, foundation models, explainable AI, and representation learning is relevant. Previous experience in biomedicine is very welcome but not required; the main preference is strong AI/deep learning expertise and interest in interdisciplinary biomedical applications.

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Professors

Professor

University Name
Country flag

Germany

Research Interests

Zoology

Anesthesiology

Human-wildlife Interaction

Virtual Learning

Neurocritical Care